Paper Papers
5,964 papers found • Page 28 of 120
Conference
Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients
Farhad Pourpanah, Mahdiyar Molahasani, Milad Soltany et al.
Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt
Benfeng Wang, Chao Huang, Jie Wen et al.
FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement
Shanfeng Wang, Jianzhao Li, Zaitian Liu et al.
FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation
Pengyang Zhou, Chaochao Chen, Weiming Liu et al.
FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning
Daoyuan Li, Zuyuan Yang, Shengli Xie
FedPIA – Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning
Pramit Saha, Divyanshu Mishra, Felix Wagner et al.
FedPop: Federated Population-based Hyperparameter Tuning
Haokun Chen, Denis Krompaß, Jindong Gu et al.
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
Yanbing Zhou, Xiangmou Qu, Chenlong You et al.
FedSPU: Personalized Federated Learning for Resource-Constrained Devices with Stochastic Parameter Update
Ziru Niu, Hai Dong, A. K. Qin
FedSum: Data-Efficient Federated Learning Under Data Scarcity Scenario for Text Summarization
Zhiyong Ma, Zhengping Li, Yuanjie Shi et al.
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis
Guochen Yan, Luyuan Xie, Xinyi Gao et al.
Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization
Yawen Cui, Li Liu, Zitong Yu et al.
Few-Shot Domain Adaptation for Learned Image Compression
Tianyu Zhang, Haotian Zhang, Yuqi Li et al.
Few-Shot Fine-Grained Image Classification with Progressively Feature Refinement and Continuous Relationship Modeling
Zhen-Xiang Ma, Zhen-Duo Chen, Tai Zheng et al.
Few-Shot Incremental Learning via Foreground Aggregation and Knowledge Transfer for Audio-Visual Semantic Segmentation
Jingqiao Xiu, Mengze Li, Zongxin Yang et al.
Few-Shot, No Problem: Descriptive Continual Relation Extraction
Nguyen Xuan Thanh, Anh Duc Le, Quyen Tran et al.
FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program
Yi-Xiang Hu, Feng Wu, Shaoang Li et al.
Field Dependence as a Predictor of Cybersickness
Wallace Santos Lages, Brady Li, Zachary Gaydos
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
Yichen Gong, Delong Ran, Jinyuan Liu et al.
Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs Without Real Data Replay
Ruiheng Liu, Jinyu Zhang, Yanqi Song et al.
Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection
Zining Chen, Xingshuang Luo, Weiqiu Wang et al.
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting
Yulong Wang, Yushuo Liu, Xiaoyi Duan et al.
FIND: A Framework for Discovering Formulas in Data
Tingxiong Xiao, Yuxiao Cheng, Jinli Suo
Finding Flawed Fictions: Evaluating Complex Reasoning in Language Models via Plot Hole Detection
Kabir Ahuja, Melanie Sclar, Yulia Tsvetkov
Fine-grained Adaptive Visual Prompt for Generative Medical Visual Question Answering
Ting Yu, Zixuan Tong, Jun Yu et al.
Fine-Grained Graph Representation Learning for Heterogeneous Mobile Networks with Attentive Fusion and Contrastive Learning
Shengheng Liu, Tianqi Zhang, Ningning Fu et al.
Fine-Grained Perception in Panoramic Scenes: A Novel Task, Dataset, and Method for Object Importance Ranking
Jia Song, Chenglizhao Chen, Xu Yu et al.
FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training
hongzhou yu, Tianhao Cheng, Yingwen Wang et al.
Fine-Tuning Language Models with Collaborative and Semantic Experts
Jiaxi Yang, Binyuan Hui, Min Yang et al.
FineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every Language
Guilherme Penedo, Hynek Kydlíček, Vinko Sabolčec et al.
FIRM: Flexible Interactive Reflection ReMoval
Xiao Chen, Xudong Jiang, Yunkang Tao et al.
First Line of Defense: A Robust First Layer Mitigates Adversarial Attacks
Janani Suresh, Nancy Nayak, Sheetal Kalyani
First-Order Automata
Luca Geatti, Alessandro Gianola, Nicola Gigante
First-Order Federated Bilevel Learning
Yifan Yang, Peiyao Xiao, Shiqian Ma et al.
First-Person Vocal Auralisation in XR and Its Influence on Perceived Presence and Audio-Visual Quality
Mauricio Flores-Vargas, Enda Bates, Rachel McDonnell
Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models
Weihao Ye, Qiong Wu, Wenhao Lin et al.
FLAME: Learning to Navigate with Multimodal LLM in Urban Environments
Yunzhe Xu, Yiyuan Pan, Zhe Liu et al.
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation
Clément Chadebec, Onur Tasar, Eyal Benaroche et al.
Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding
Fabian David Schmidt, Ivan Vulić, Goran Glavaš et al.
FlexDataset: Crafting Annotated Dataset Generation for Diverse Applications
Ellen Yi-Ge, Leo Shawn
Flexible Sharpness-Aware Personalized Federated Learning
Xinda Xing, Qiugang Zhan, Xiurui Xie et al.
FlexiTex: Enhancing Texture Generation via Visual Guidance
Dadong Jiang, Xianghui Yang, Zibo Zhao et al.
FlexPose: Pose Distribution Adaptation with Limited Guidance
Zixiao Wang, Junwu Weng, Mengyuan Liu et al.
FloNa: Floor Plan Guided Embodied Visual Navigation
Jiaxin Li, Weiqi Huang, Zan Wang et al.
Flow Factorization for Efficient Generative Flow Networks
Jiashun Liu, Chunhui Li, Cheng-Hao Liu et al.
FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation
Min Lin, Gangwei Xu, Yun Wang et al.
FlowPolicy: Enabling Fast and Robust 3D Flow-Based Policy via Consistency Flow Matching for Robot Manipulation
Qinglun Zhang, Zhen Liu, Haoqiang Fan et al.
FLUE: Streamlined Uncertainty Estimation for Large Language Models
Shiqi Gao, Tianxiang Gong, Zijie Lin et al.
Fluid Language Model Benchmarking
Valentin Hofmann, David Heineman, Ian Magnusson et al.
FMPM-DNet: Hyperspectral Pansharpening Dynamic Network Based on Feature Modulation and Probability Mask
Xiaozheng Wang, Yong Yang, Shuying Huang et al.